Statistical Analyses: Analyses will be conducted based on intention to treat. Descriptive statistics will be used to define and compare the participants in both intervention groups. More specifically, we will calculate means, medians, deviations and interquartile ranges and T-tests will be used to determine the differences between groups for socio-demographic variables. Chi-square tests and observed differences between groups will be used for categorical variables. If differences are observed between groups, these variables will be controlled for in subsequent analyses. We will verify that variables are normally distributed. If variables are not normally distributed, non-parametric tests will be employed. A repeated measures analysis of variance will permit the assessment of efficacy of the two treatments at post-treatment and at 6-month follow-up. The analyses will focus on the changes in pain experienced during intercourse from pre-treatment assessment to post-treatment and 6-months follow-up. To do this, time will be the intra-subject variable, and the experimental condition will be the inter-subject variable.